Kurt MacAlpine
Analyst · Brian Bedell of Deutsche Bank
Great. So first so first off on the open architecture model portfolios. I mean, we've really build an open architecture lens in mind. So it starts with the end client's objectives. What are they looking to achieve, and then we will build the portfolio accordingly. So some of those portfolios have a very high share of WisdomTree, others have more a more modest share of WisdomTree. But it's really based upon the objectives that the client's looking to achieve and the risk tolerance and things like that, that go into that decision-making. So we really do truly build them open architecture for them. Regarding the data intelligence efforts, we talked a lot about this on previous calls around the efforts we've made around putting -- building or establishing one integrated database. So right now we are able to -- from an individual client perspective, we really have a holistic view. So what does that mean? It means, we have all of our sales interactions, captured via our salesforce capability. In that database, we have all of our kind of marketing, tracking and intelligence efforts tracked in there as well. All of the public filings around assets inflows that are available in the industry, plus the data agreements we have with a number of strategic relationships as well. So all of that is put into one integrated database, where we are able to see, at the client level, not only the activities and the engagement, but also the assets and the flows from them. We also, last year, and rolled it out late last year, collaborated with IBM Watson. So we're the first and only asset manager, using Watson's capabilities in the distribution process. What that's allowed us to do, in addition to having a machine-learning model, that helps determine who best -- who we should be targeting, what we should be targeting them with, and then specifically how we should be targeting. It also came with a lot of demographic data and information on those particular advisors and clients that's very helpful to our segmentation and prioritization efforts. So I would say, the way to think about the data intelligence effort is, we are now in the execution phase. Obviously, we're continuing to add-on and strengthen the capabilities, but it's been up and running in our distribution organization for the last few months.